Results 51 to 60 of about 215 (122)
IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.The pretrained trajectory prediction model integrates an autoencoder with CoordConv to enhance coordinate features and employs a trajectory encoder, endpoint decoder and future trajectory decoder. It addresses the multi‐modality challenge by predicting possible endpoints and generating trajectories accordingly. ABSTRACT Pedestrian trajectory prediction
Jim‐Wei Wu, Ying‐Ching Chen
wiley +1 more source
IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.This paper proposes a hierarchical GAN model for vehicle trajectory prediction at signalised intersections. The model innovatively fuses temporal and spectral trajectory features while explicitly modelling interactions using a multi‐factor attention pooling mechanism that incorporates relative position, velocity and vehicle type.
Zhentao Zhong +5 more
wiley +1 more source
, 2016 International audienceThe goal of this presentation is to discuss the FDE (fault detection and exclusion) performance of the MCMF (multi-constellation and multi-frequency) RAIM algorithm, i.e., the ability of MCMF RAIM to handle single and multiple ...
Vuillaume, Jonathan +3 more
core +1 more source
On Detection of Observation Faults in the Observation and Position Domains for Positioning of Intelligent Transport Systems [PDF]
, 2019 Intelligent transportation systems (ITS) depend on global navigation satellite systems (GNSS) as a major positioning sensor, where the sensor should be able to detect and exclude faulty observations to support its reliability.
El-Mowafy, Ahmed, Ahmed El-Mowafy
core +1 more source
IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.Accurate and reliable real‐time localization for lane‐keeping underpins safe navigation in autonomous vehicles; however, these systems are frequently exposed to sensor faults induced by environmental disturbances, which can result in critical integrity failures.
Keng Wei Chou, Yao Jiun Huang, Kang Li
wiley +1 more source
IET Radar, Sonar & NavigationThe Advanced Receiver Autonomous Integrity Monitoring (ARAIM) provides an Aircraft‐Based Augmentation System function for aircraft Global Navigation Satellite System equipment.
Jingtian Du +3 more
doaj +1 more source
Integrity Monitoring for BDS/INS Real-Time Kinematic Positioning Between Two Moving Platforms
Remote SensingIn recent years, the rapid development of moving platforms, especially unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs), has promoted their widespread applications in various fields such as precision agriculture and formation flight ...
Yangyang Li +6 more
doaj +1 more source
Filter-Type Fault Detection and Exclusion on Multi-Frequency GNSS Receiver
, 2007 本論文之議題為探討衛星故障之偵測與排除 (fault detection and exclusion; FDE)，其目地是為了偵測因衛星故障所引發之嚴重定位誤差，並且進一步將產生誤差的來源消除，以使導航能夠延續；在此提出分別以多頻 (multi-frequency) 技術、自我迴歸移動平均 (autoregressive moving average; ARMA) 濾波器、卡爾曼濾波器 (Kalman filter) 為基礎之三種演算法，以改進現有之故障偵測與排除演算法 ...
Tsai, Yi-Hsueh, 蔡宜學
core
, 2018 International audiencethis paper presents an integrity monitoring method in order to provide a precise Global Navigation Satellite System (GNSS) positioning.
Makkawi Khoder +9 more
core +1 more source
Performance Evaluation of Fault Detection Algorithms as Applied to Automotive Localisation
, 2008 A very important parameter to measure the quality of localisation systems is integrity in Global Navigation Satellite System (GNSS). Within this perspective, Integrity first considers the removal of outliers at the receiver level.
Bonnifait, Philippe +4 more
core +2 more sources